Quant Trader Internship - London (6 Months, Visa)

Maven; Greater London; On-site; GBP 20,000 - 30,000; Full time

Benefits offered by this job

On-site gym and wellness facilities

Monthly company events

Job summary

Maven Securities is seeking a Quant Trader Intern for a 6-month internship in London, focused on options market making and quantitative research.

The program offers hands-on experience with traders and researchers, developing quantitative skills and a final research project. Degree in Applied Mathematics, Financial Engineering, or Physics is expected; Python is preferred, with C++/C# knowledge a plus. Visa sponsorship available.

Qualifications

• Educational background in Applied Mathematics, Financial Engineering, Physics, or a related quantitative field.
• Proficiency in programming, ideally Python, with knowledge of C++ or C# being beneficial.
• Ability to independently solve problems creatively and effectively.
• Strong communication skills to present research findings clearly.
• Self-motivated with interest in improving trading strategies.

Responsibilities

• Engage in a comprehensive 6-month training program focused on options market making.
• Collaborate with traders and researchers to address quantitative research challenges.
• Develop expertise in quantitative methods applicable to market-making desks.
• Solve quantitative research problems, including volatility modeling and alpha generation.
• Create visualization tools utilizing Python or AI-assisted coding.
• Complete a structured research project under guidance of traders and quants.
• Shadow the Options Market Making desks to gain practical insights.

Skills

Python programming

Problem solving

Communication skills

Self-motivated

Financial market knowledge

Education

Bachelor's degree

Tools

C++/C# familiarity

Job description

Maven Securities is seeking a Quant Trader Intern for a 6-month internship in London, focused on options market making and quantitative research.

The program offers hands-on experience with traders and researchers, developing quantitative skills and a final research project. Degree in Applied Mathematics, Financial Engineering, or Physics is expected; Python is preferred, with C++/C# knowledge a plus. Visa sponsorship available.